Alternatives and similar repositories for shalo:

Users that are interested in shalo are comparing it to the libraries listed below

• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆52Updated 8 years ago
• sean-chester / generalised-brown
  C++ implementation of Generalised Brown clustering and python scripts for feature generation
  ☆41Updated 8 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• jstarc / nli_generation
  Natural Language Inference Dataset Generation
  ☆30Updated 8 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆37Updated 8 years ago
• JonathanRaiman / wikipedia_ner
  Labeled examples from wiki dumps in Python
  ☆67Updated 8 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 4 years ago
• bmitra-msft / NDRM
  A repository for Neural Document Ranking Models.
  ☆85Updated 6 years ago
• bmitra-msft / Demos
  A bag of miscellaneous demos!
  ☆13Updated 7 years ago
• composes-toolkit / dissect
  ☆54Updated 9 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 7 years ago
• cvangysel / cuNVSM
  Neural Vector Space Models
  ☆50Updated 6 years ago
• cgpotts / annualreview-complearning
  Demonstration code for Liang and Potts 2015
  ☆79Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 6 years ago
• casaro / AutoExtend
  ☆30Updated 6 years ago
• artetxem / uncovec
  Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
  ☆63Updated 6 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆125Updated 8 years ago
• ikekonglp / TweeboParser
  A Dependency Parser for Tweets
  ☆79Updated 5 years ago
• uds-lsv / relationfactory
  End-to-end relation extraction and knowledge base population pipeline.
  ☆48Updated 7 years ago
• rmit-ir / SummaryRank
  Python toolkit for ranking experiments on sentence/summary data
  ☆25Updated last year
• riedlma / SECOS
  An unsupervised compound splitter
  ☆41Updated 5 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆73Updated 7 years ago
• lopuhin / python-adagram
  AdaGram (adaptive skip-gram) for Python
  ☆74Updated 7 years ago
• gouwsmeister / bilbowa
  Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.
  ☆69Updated 3 years ago
• anuzzolese / oke-challenge-2016
  ☆22Updated 7 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 6 years ago
• afshinrahimi / activelearning
  Active Learning for text classification using scikit-learn
  ☆23Updated 5 years ago
• WladimirSidorenko / DiscourseSenser
  Sense Disambiguation of Connectives for PDTB-Style Discourse Parsing
  ☆14Updated 8 years ago